Experiment I. In the first experiment, we utilize a dataset consisting of 10 subsets, where each subset
contains both real and CycleGAN-generated images
[1]}, [2]}, [3]}. For example, the
horse2zebra subset includes real horse and zebra images for
training CycleGAN and corresponding fake horse and zebra images
generated from the trained model. It has 14 semantic categories,
including Apple, Orange, Horse, Zebra, Yosemite summer, Yosemite winter,
Facades, CityScape_Photo, Satellite Image, Ukiyoe, Van Gogh, Cezanne,
Monet and Photo. There are over 36K images in this dataset.
